Data Scientist

2 months ago


City of London Greater London, United Kingdom Infused Solutions Full time €75,000 - €100,000

Title: Data Scientist
Salary: £75,000 to £100,000 + Benefits Package
Terms: Permanent, Full Time
Location: London
Work Pattern: Fully On-Site

Infused Solutions is partnering with a leading international data analytics company in London to find a talented Data Scientist or Machine Learning Engineer . In this role, you will work closely with the wider Data teams and Full Stack Developers, applying advanced machine learning and data science techniques to develop innovative products, drive business value, and improve operational efficiency.

They are looking for someone who thrives in a dynamic office environment, working 5 days a week from their London office . While this may be less common in today's market, the company believes it maximises team collaboration and fosters spontaneous problem-solving for their clients. Some of their best ideas have emerged from small groups of engineers gathered around a whiteboard.

Required Skills:

  • Experience building REST APIs
  • Expertise in Natural Language Processing (NLP)
  • Applied machine learning and automation using Python
  • Experience in project implementation and delivery
  • Strong competence in statistics, data analysis, or a mathematics background
  • Extensive experience with integrating diverse data sets from various sources.
  • Expertise in handling and processing large datasets, with volumes in the terabytes (TB) per hour/day.
  • Skilled in aligning and preparing data for use in predictive models and analysis.
  • Ability to develop, implement, and productionise machine learning models across various projects


Desired Skills:

  • Familiarity with Java
  • Experience in algorithm implementation
  • Experience with tools like Scikit-learn, PyTorch, and Spacy
  • Experience in managing model data
  • Knowledge of time-series and real-time data processing
  • Understanding of precision, recall, and regression testing
  • Familiarity with different classification and regression models


If this role interests you, please apply, or for more information, feel free to contact me


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